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Research Topic : Skeletal Muscle
Socio-Economic Objective : Expanding Knowledge in Engineering
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  • Researchers (43)
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  • Funded Activity

    Linkage Projects - Grant ID: LP130100122

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Virtual testing of orthopaedic devices as part of the design and development process: strategies to account for patient and surgical variability. Novel computational tools will be developed through this project to help account for patient and surgical variability in the design of orthopaedic implants, such as hip and knee replacements and spinal products. These tools will reduce the design time, give greater insight in implant performance and ultimately lead to safer implants with improved longe .... Virtual testing of orthopaedic devices as part of the design and development process: strategies to account for patient and surgical variability. Novel computational tools will be developed through this project to help account for patient and surgical variability in the design of orthopaedic implants, such as hip and knee replacements and spinal products. These tools will reduce the design time, give greater insight in implant performance and ultimately lead to safer implants with improved longevity.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100057

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    A high-resolution X-ray microtomography system. This project aims to establish a Scanco microCT 50 high resolution X-Ray microtomography system, to non-destructively visualise and quantitatively characterise complex samples, including advanced composites, tissue engineering constructs, biological tissues, minerals and fossils. The non-destructive characterisation of these samples is critical to advance research. The versatile system offers high spatial resolution (down to 500 nm voxel size) and .... A high-resolution X-ray microtomography system. This project aims to establish a Scanco microCT 50 high resolution X-Ray microtomography system, to non-destructively visualise and quantitatively characterise complex samples, including advanced composites, tissue engineering constructs, biological tissues, minerals and fossils. The non-destructive characterisation of these samples is critical to advance research. The versatile system offers high spatial resolution (down to 500 nm voxel size) and large sample size (up to 100 mm diameter). The project will enable progress in advanced composites, additive bio-manufacturing, physiology of biological tissues and palaeontology which will benefit Australian science. Additionally, through commercialisation and the formation of new companies, the project could potentially result in economic and health benefits to the wider Australian population and economy.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT110100166

    Funder
    Australian Research Council
    Funding Amount
    $639,288.00
    Summary
    Regenerating articular cartilage with smart hydrogels and fabrication technologies. Osteoarthritis affects over 1.6 million Australians and a cure remains elusive. Tissue engineering promises to regenerate joints, but issues with tissue quality, organisation and cost have led to limited clinical application. This project will develop new tissue fabrication technologies to engineer cartilage with appropriate organisation and lower costs.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT200100098

    Funder
    Australian Research Council
    Funding Amount
    $920,059.00
    Summary
    Advancing human movement evaluation using artificial intelligence. Human movement disorders affect one-third of Australians; however, conventional approaches to assessing joint motion are costly and largely clinic- or laboratory-based. This project aims to combine biomechanical modelling and advanced machine learning to non-invasively produce accurate, low-cost, user-friendly shoulder and elbow joint angle measurements using wearable inertial sensors. The technology will enable a non-expert to o .... Advancing human movement evaluation using artificial intelligence. Human movement disorders affect one-third of Australians; however, conventional approaches to assessing joint motion are costly and largely clinic- or laboratory-based. This project aims to combine biomechanical modelling and advanced machine learning to non-invasively produce accurate, low-cost, user-friendly shoulder and elbow joint angle measurements using wearable inertial sensors. The technology will enable a non-expert to obtain reliable kinematics data in any location. Accurate, wearable motion measurement will benefit next-generation healthcare including telemedicine and remote rehabilitation for isolated communities, performance monitoring of elite athletes and military personnel, and the gaming and film/animation industries.
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    Showing 1-4 of 4 Funded Activites

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